Instructions to use kusoyu/Mabinogi-Nao with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kusoyu/Mabinogi-Nao with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kusoyu/Mabinogi-Nao", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("kusoyu/Mabinogi-Nao", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Model Card for Model ID
This LoRA was trained according to a game character Nao from MMORPG Mabinogi
Model Details
Hope you enjoy it~ Recommend using im2img or ControlNet for best results!
Bias, Risks, and Limitations
The hand pose may be a bit strange, please generate the image patiently...
How to Get Started with the Model
Just call the LoRA file
Training Data
From official and non-official pictures
Training Procedure
Using google colab to train 3x images
Results
- Downloads last month
- 1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support














